The Beta-Binomial SGoF method for multiple dependent tests

Power, FDR and conservativeness of BB-SGoF method for multiple dependent tests: a simulation study

Beta-Binomial SGoF (or BB-SGoF) method for multiple hypotheses testing has been recently proposed as a suitable modification of the Sequential Goodness-of-Fit (SGoF) multitesting method when the tests are correlated in blocks. In this paper we investigate the power, the false discovery rate, and the conservativeness of BB-SGoF in an intensive Monte Carlo simulation study. Important features suc...

sgof: An R Package for Multiple Testing Problems

In this paper we present a new R package called sgof for multiple hypothesis testing. The principal aim of this package is to implement SGoF-type multiple testing methods, known to be more powerful than the classical false discovery rate (FDR) and family-wise error rate (FWER) based methods in certain situations, particularly when the number of tests is large. This package includes Binomial and...

Binomial Tests

Binomial Test Example: Instances of sevens as digits from a random digit generator Step 1: Formulate hypotheses. H0 : π = 1 10 , Ha : π 6= 1 10 Step 2: Obtain a test statistic. In this case, I indicated a sample of 200 random digits yielded 35 sevens. Step 3: Calculate the P -value. The P -value is the conditional probability of obtaining a test statistic at least as extreme as ours given that ...

Bootstrap Goodness - of - Fit Tests for the Beta - Binomial Model Steven

Customer Relationship Termination Problem for Beta-Geometric/Beta-Binomial Model of Customer Behavior

We  deal with the relationship termination problem in the context of individual-level customer relationship management (CRM) and use a Markov decision process to determine the most appropriate occasion for termination of the relationship with a seemingly unprofitable customer. As a particular case, the beta-geometric/beta-binomial model is considered as the basis to define customer beha...